Public business website
Responsive pages, lead capture, SEO, publish, custom domain and social previews.
Research brief · 26 July 2026
A data-backed workflow priority for PeachJam: which generated applications matter most, what end-to-end journeys to reproduce, and which failure modes those journeys should expose.
Short answer
Lovable’s own data says websites are the largest category (26.4%), followed by business operations (21.8%). Consumer apps, analytics dashboards and e-commerce bring the top five to 76.1%. This is a much better PeachJam roadmap signal than copying whatever happens to be visually prominent in Lovable’s template gallery.
Responsive pages, lead capture, SEO, publish, custom domain and social previews.
Authentication, roles, relational CRUD, filters, reporting, imports and notifications.
Onboarding, mobile use, profiles, user-owned records, persistence and media uploads.
Primary evidence
The classification below comes from Lovable’s 2026 Build Economy study. The methodology combines anonymized platform activity from January 2025–May 2026 with a May 2026 survey of more than 14,300 users. The category chart itself is identified as user-survey data.
Bar lengths are normalized to the largest category. Source: Lovable Build Economy 2026.
25.8% want a launched product with active paying users; 17.7% want a tool their team uses daily; 14.5% want a polished professional brand presence; 12.3% want a working prototype; and 6.4% want a client handoff.
80% identify with non-technical roles, 80% build solo, and 45.7% are founders or co-founders. Error states, approval boundaries and recovery must be understandable without requiring browser devtools or database expertise.
Prioritization
Websites and business tools are both common and cheap to exercise. E-commerce, marketplaces and AI tools have smaller shares but disproportionately stress payments, secrets, role boundaries, asynchronous jobs and recovery. They belong in the core suite, not the long tail.
| Priority | Workflow family | Lovable share | Why it belongs | Primary defect yield |
|---|---|---|---|---|
| P0 | Public business website | 26.4% | Largest category; fastest parity signal | Responsive layout, assets, forms, routing, SEO, publish |
| P0 | CRM / business operations | 21.8% | Daily-use software and strongest internal-tool pattern | Auth, roles, relational CRUD, data isolation, integrations |
| P0 | Consumer account app | 11.8% | Top-three category and mobile-heavy | Onboarding, session lifecycle, ownership, uploads, persistence |
| P1 | Analytics dashboard | 9.1% | Common standalone category and repeated ops feature | Imports, chart correctness, filters, dates, empty/loading/error states |
| P1 | E-commerce storefront | 7.0% | Revenue-critical and officially supported | Cart, checkout, webhook idempotency, inventory, email |
| P1 | Productivity utility | 6.2% | Common solo-builder and passive-income shape | Calculation correctness, persistence, export, share links |
| P1 | Marketplace | 5.4% | Smaller share but highest multi-role complexity | Buyer/seller permissions, search, messaging, moderation, payments |
| P1 | AI / chatbot product | 4.5% | Strategic for an AI builder and integration-heavy | Secrets, streaming, citations, quotas, retries, provider failures |
| P2 | Content and education | 5.0% combined | Important but partially exercised by website flows | SSR/prerender, content structure, enrollment, media, discoverability |
Executable corpus
Each journey should be run as the same sequence of prompts on Lovable and PeachJam. Assertions must inspect the generated app, data and deployed behavior. Preserve the artifacts and screenshots from every turn so regressions can be attributed.
Build → refine from an attached brand reference → add a validated contact form → add metadata → publish → update.
Build relational data → add manager/member roles → import leads → add pipeline and reporting → trigger email notification.
Sign up → onboarding → profile/avatar → create and complete habits → logout/login → second-user isolation.
Upload a CSV → map columns → show KPIs/charts → filter dates → drill into rows → export a report.
Catalog → search/product detail → cart → authentication → test checkout → webhook → order email → inventory update.
Build calculator/generator → save named scenarios → export → share → revise calculation rules without losing records.
Buyer/seller onboarding → listing with images → search/filter → favorite/message → moderation → purchase or booking.
Connect server-side AI → upload source files → stream an answer with citations → enforce limits → recover from provider failure.
Cross-cutting probes
Recent community reports repeatedly describe a gap between an impressive first draft and production: auth hangs or redirect loops, permissive data policies, Stripe success without entitlements, preview/live differences, missing environment variables, sync failures and repeated AI “fix” loops. These reports are anecdotal, so they are used as test hypotheses, not prevalence statistics.
A narrow follow-up must not replace routes, erase data code, remove auth, regress responsive behavior or “fix” unrelated files.
Test first login, refresh, expiry, recovery, logout, two users, roles and forbidden direct API calls.
Test schema creation, safe migrations, existing-data preservation, row ownership, imports and concurrent writes.
Compare URLs, assets, redirects, OAuth callbacks, secrets, service workers, metadata and backend state after publishing.
Test provider readback, webhook replay, delayed events, cancellation, failed payment and idempotent fulfillment.
Interrupt builds, time out providers, disconnect integrations and prove the user sees a truthful, actionable recovery path.
Use the representative iPhone profile, keyboard navigation, focus restoration, labels, reduced motion and real content lengths.
Test admin permissions, project linking, credential rotation, unlink/delete effects and staging/production separation.
Prove repository creation, two-way sync, external commits, conflicts, disconnect/reconnect and deployment from owned code.
Current repository comparison
This is based on origin/main@4fe1d501. PeachJam already has strong
browser coverage for its dashboard, project editor, publishing, cloud, sharing, settings
and collaboration surfaces. The gap is representative apps built and exercised as real
user workflows.
| Phase | Deliverable | Exit condition |
|---|---|---|
| A | Shared journey manifest and scorer | One scenario can run on both products without product-specific assertions hiding mismatches. |
| B | Website, CRM and consumer-app journeys | 60% of Lovable’s published category mix has behavioral coverage. |
| C | Dashboard, store and utility journeys | 82.3% coverage; import/export and revenue paths exercised. |
| D | Marketplace and AI assistant journeys | 92.2% coverage; multi-role, streaming, secrets and failure recovery exercised. |
| E | Template expansion informed by journey failures | Templates reuse proven capabilities instead of becoming visual demos of unverified behavior. |
Repository evidence: template seeds, stateful runtime smoke, builder continuity smoke, and test/smoke scripts.
Method and limits
Category shares, builder roles, motivations and success definitions come from Lovable’s published 2026 study. The official template sitemap was independently inventoried on 26 July 2026: 177 leaf templates; the largest families were portfolio (41), services (28), internal tools (21), music (14), events (13), blog (10) and SaaS (10).
The recommended PeachJam ordering combines category prevalence with likely defect yield. Template counts are treated only as product-investment evidence, not user demand. Community discussions are used to select failure probes, not to estimate how often failures occur.
Sources